General statistics¶

Out[11]:
period_start_time period_end_time
Week 1 2021-08-07 2021-08-20
Week 3 2021-08-21 2021-09-03
Week 5 2021-09-04 2021-09-17
Week 7 2021-09-18 2021-10-01
Week 9 2021-10-02 2021-10-15
Week 11 2021-10-16 2021-10-28
Week 13 2021-10-31 2021-11-12
Week 15 2021-11-14 2021-11-26
Week 17 2021-11-27 2021-12-10
Week 19 2021-12-11 2021-12-23
Week 21 2021-12-25 2022-01-06
Week 23 2022-01-09 2022-01-21
Week 25 2022-01-23 2022-02-03
Week 27 2022-02-06 2022-02-18
Week 29 2022-02-19 2022-03-04
Week 31 2022-03-06 2022-03-18
Week 33 2022-03-19 2022-04-02
Week 35 2022-04-02 2022-04-16
Week 37 2022-04-17 2022-04-30
Week 39 2022-04-30 2022-05-14

Praise involvement¶

How many praise?¶

The trend of total number of praises across time.

How many people give and receive praise?¶

Counting the unique ID of praise giver and receivers then see the change across time. In the figure, blue line represents the amount of praise receivers and red line for givers。

Quantifier involvement¶

Counting how many quantifiers are involved in each round.

System health evaluation¶

new TEC members involved in praise (either give or receive)¶

Counting the round-by-round change of unique IDs being either praise giver or praise receiver.

/home/dev/Documents/venv/rad-venv/lib/python3.9/site-packages/pandas/core/indexing.py:1732: SettingWithCopyWarning:


A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

The blue line represents new IDs in this round, red line represents IDs that are absent in this round but was present in the last round. Green line is the net difference, with above 0 meaning more people joined to praise and below 0 means less.

distribution equality¶

Nakamoto Coefficient¶

The Nakamato Coefficient is defined as the smallest number of accounts who control at least 50% of the resource. Although its significance relates to the prospect of a 51% attack on a network, which may not be relevant in our context, we can still use it as an intuitive measure of how many individuals received the majority of a resource.

Bigger coefficient means more equal (i.e. needs more people to pass 50%), smaller means more concentrated power. The number should always be an integer

quantification agreement¶

TODO: measure how well quantifiers agree with each other. metrics like ratio of agreement on duplication and dismissal. overall average spread. etc.